Leveraging AI-driven knowledge networks for sustainable business model innovation: the mediating role of absorptive capacity and the moderating role of sustainable entrepreneurial orientation

作者
Muhammad Sadiq,Ka Yin Chau,Massoud Moslehpour,Georgia Sakka,Aisha Khan
出处
期刊:Business Process Management Journal [Emerald Publishing Limited]
卷期号:: 1-30
标识
DOI:10.1108/bpmj-06-2025-0992
摘要

Purpose This study examines how artificial intelligence (AI)-powered knowledge networks support sustainable business model innovation, focusing on the mediating role of knowledge absorptive capacity and the moderating role of sustainable entrepreneurial orientation. Design/methodology/approach Drawing on the knowledge-based view and dynamic capability theory, the study tests a moderated mediation model using a final dataset of 400 valid responses affiliated with business schools in China. Partial least squares structural equation modelling was used to examine direct, mediated, moderated and moderated mediation effects. Findings The findings show that AI integration capability, innovation network strength and knowledge-sharing culture influence sustainable business model innovation both directly and indirectly through knowledge absorptive capacity. Sustainable entrepreneurial orientation strengthens selected relationships, particularly those involving AI capability, knowledge-sharing culture and absorptive capacity. Research limitations/implications The study is based on cross-sectional, self-reported data from business-school-affiliated respondents in China. Future research should test the model using practitioner-based samples, longitudinal designs and different industrial and national contexts. Practical implications Managers should not only invest in AI tools and collaborative networks but also develop employees' ability to interpret AI-generated knowledge and translate external knowledge into sustainability-oriented innovation. Social implications The findings highlight how AI-enabled knowledge networks can support sustainability-oriented innovation, resource efficiency, circular economy practices and broader social innovation goals. Originality/value The study integrates technological, relational, cultural, absorptive and entrepreneurial dimensions into a single framework explaining sustainable business model innovation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.2的应助被七听采纳,获得10
刚刚
小橙子完成签到,获得积分10
刚刚
刚刚
又是许想想完成签到,获得积分10
刚刚
wave完成签到,获得积分10
刚刚
jinmin完成签到,获得积分10
刚刚
1秒前
ll完成签到,获得积分10
1秒前
Akim的应助被钰宁采纳,获得10
1秒前
1秒前
今后的应助被pp采纳,获得10
1秒前
番茄不加糖完成签到,获得积分10
1秒前
mwj完成签到,获得积分10
2秒前
Xjing发布了新的文献求助10
2秒前
认真的傲柏完成签到,获得积分10
2秒前
2秒前
章鱼小丸子完成签到,获得积分10
2秒前
坦率问玉完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
任性的乘风完成签到 ,获得积分10
3秒前
大个的应助被wanci采纳,获得20
4秒前
4秒前
can发布了新的文献求助10
4秒前
mll完成签到,获得积分10
4秒前
4秒前
SS1025861发布了新的文献求助10
4秒前
nurjamal发布了新的文献求助10
4秒前
4秒前
张七发布了新的文献求助10
5秒前
5秒前
5秒前
DrLee发布了新的文献求助10
5秒前
Kelly发布了新的文献求助10
5秒前
5秒前
大虾完成签到,获得积分10
5秒前
磁吸炸弹投出完成签到,获得积分10
5秒前
霸气雨珍完成签到,获得积分10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Erzählte Gnade 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8109956
求助须知:如何正确求助?哪些是违规求助? 9517475
关于积分的说明 21512771
捐赠科研通 7687096
什么是DOI,文献DOI怎么找? 3411428
关于科研通互助平台的介绍 2538603
邀请新用户注册赠送积分活动 2451392